Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
An integrated model of threshold-based scaling and fractional admission controlling to improve resource utilization efficiency in 5G core networks. [PDF]
Hoa LC, Dang TC, Vo VMN.
europepmc +1 more source
The proposed e‐skin incorporates multimodal sensing capabilities, including surface electromyography (sEMG), NO2 sensing, photodetection, and temperature monitoring, allowing for seamless human‐robot interaction. By integrating sEMG‐based gesture recognition with voice commands and an LLM‐assisted task planning module, we developed a robotic control ...
He Zhu +12 more
wiley +1 more source
Traffic condition prediction for highway within work zones under dynamic traffic organization changes. [PDF]
Xu F +5 more
europepmc +1 more source
Performance of multi-strategy optimized mayfly optimization algorithm for location selection of university reimbursement form submission terminals. [PDF]
Yang Z, Wang J.
europepmc +1 more source
Performance and Energy Consumption Analysis for UWSNs with Priority Scheduling Based on Access Probability and Wakeup Threshold. [PDF]
Li N +5 more
europepmc +1 more source
A multi-dimensional urban spatial perception framework for urban diagnosis in Wuhan driven by multi-source data. [PDF]
Liu X, Zhang R, Liu X, Xiong D, Liang Z.
europepmc +1 more source
DBH-Chain: a decentralized blockchain-enabled healthcare framework for end-to-end delay optimization. [PDF]
Ali M, Kumar R, Tunio MZ, Lakhan A.
europepmc +1 more source
Dynamic Traffic Signal Control for Isolated Intersections: Enhanced SARSA Reinforcement Learning with Expectation Prediction and Eligibility Traces. [PDF]
Gao Y, Sun W, Jian M, Zhang Z, Yan Z.
europepmc +1 more source
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The purpose of this tutorial is to survey queueing networks, a class of stochastic models extensively applied to represent and analyze resource sharing systems such as communication and computer systems. Queueing networks (QNs) have been proved to be a powerful and versatile tool for system performance evaluation and prediction. First we briefly survey
BALSAMO, Maria Simonetta, MARIN, Andrea
openaire +3 more sources

